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Data Mining by Pluralistic Approach on CRISPR Gene Editing in Plants
Tanushri Kaul1, Nitya Meenakshi Raman1, Murugesh Eswaran1
1Nutritional Improvement of Crops Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, India.
CRISPR gene editing offers precise genome modification for plants and other organisms. This review covers CRISPR applications in crop improvement and discusses emerging technologies for advanced agricultural demands.
Area of Science:
- Agricultural Science
- Molecular Biology
- Genetics
Background:
- Site-specific nucleases, including Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-related RNA-guided endonucleases, have revolutionized genome engineering.
- The CRISPR/Cas system, originally an adaptive immune mechanism in bacteria, is now a versatile tool for targeted genome modification in plants.
Purpose of the Study:
- To review the application of synthetic nucleases for precise, targeted genome editing in plants.
- To discuss the potential of these technologies to enhance basic science understanding of gene function and complement plant breeding.
- To explore emerging CRISPR-related technologies for future agricultural applications.
Main Methods:
- Review of current literature on CRISPR-based genome engineering technologies.
- Discussion of various CRISPR-associated enzymes (e.g., Cpf1, Cas9 nickase, C2c2) and their applications.
- Analysis of the strengths and limitations of gene editing platforms.
Main Results:
- CRISPR technology facilitates efficient genome editing for reverse genetics and targeted modifications in crops.
- Applications span somatic genome editing, gene therapy, and the development of improved crop varieties.
- Emerging nucleases like Cpf1 and C2c2 show promise for novel crop applications.
Conclusions:
- CRISPR-based genome engineering is a powerful tool for crop improvement and understanding gene function.
- Continued development of novel editing tools will be crucial for meeting future agricultural demands.
- A public library of mined data is available at www.lipre.org for wider use.
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